Download or read book Smart Process Engineering Using Artificial Intelligence Tools to Learn from Graph based Chemical Plant and Process Data written by Jonas Eric Oeing and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Artificial Intelligence (AI) methods are already present in many consumer applications, they are currently less used and accepted in the process industry and in the field of engineering. At the same time, the availability of digital engineering data is increasing due to the increasing digitization and standardization of data formats, for example DEXPI (Data Exchange in Process Industry).This work provides answers concerning important questions that need to be addressed when applying AI methods in engineering. How must plant data be structured and which standards can already be accessed? Which areas of engineering are promising for the application of AI methods and which models can be used?In this context, new and innovative approaches for data-driven modeling of engineering data will be introduced, applied and evaluated. A graph-based, machine-learning information model is used to provide a basis for describing information from plant topologies in the form of a piping and instrumentation diagram (P&ID) and process simulations based on unit operations. The use of machine learning models enables to learn the relationship between process data and separation units in conceptual engineering to support the generation of downstreamprocesses. In detail engineering, AI algorithms are used that learn the topology of process units. In this way, Recurrent Neural Networks predict P&ID components, while Graph Neural Networks check the consistency to support the engineering and drawing of P&IDs. Thecombination of the graph-based information model with a deterministic algorithm also enables automated safety assessments in an early engineering and design phase.The different modeling approaches will be validated in initial feasibility studies and integrated into a smart engineering workflow and first prototype applications as part of this work.

Download or read book Intelligent Systems in Process Engineering Part II Paradigms from Process Operations written by and published by Academic Press. This book was released on 1995-11-14 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems. - Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems - Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning - The product of ten-years experience in integrating AI into process engineering - Offers expanded and realistic formulations of real-world problems

Download or read book Artificial Intelligence in Process Engineering written by Michael Mavrovouniotis and published by Elsevier. This book was released on 2012-12-02 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers.

Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering

Download or read book Process Engineering Renewal 1 written by Éric Schaer and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies such as artificial intelligence, as well as current societal needs sustainable development, climate change, renewable energy, the environment are developments that must be taken into account in industrial renewal. Process Engineering Renewal 1 the first volume of three focuses on training, demonstrating the need for innovation in order for the field to have a framework that is sustainable, in a highly changeable world.

Download or read book Intelligent Software for Chemical Analysis written by L.M.C. Buydens and published by Elsevier. This book was released on 1993-09-03 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Various emerging techniques for automating intelligent functions in the laboratory are described in this book. Explanations on how systems work are given and possible application areas are suggested. The main part of the book is devoted to providing data which will enable the reader to develop and test his own systems. The emphasis is on expert systems; however, promising developments such as self-adaptive systems, neural networks and genetic algorithms are also described. The book has been written by chemists with a great deal of practical experience in developing and testing intelligent software, and therefore offers first-hand knowledge. Laboratory staff and managers confronted with commercial intelligent software will find information on the functioning, possibilities and limitations thereof, enabling them to select and use modern software in an optimum fashion. Finally, computer scientists and information scientists will find a wealth of data on the application of contemporary artificial intelligence techniques.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Download or read book Process Engineering written by Michael Kleiber and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-11-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Reading the book, you can feel the long practical experience of the author. The text is easy to read, even where concepts can be complex. The strong theoretical background of the author is well known from other publications. In this book, however, the topics are presented on a level that every engineer and scientist in the chemical industry and process industry should know and can understand... This book would have been very helpful at the beginning of my career to close the addressed gap. Therefore, I can strongly recommend it not only to all students close to their degree, but also to engineers and scientists just starting their industrial career in the related industrial sectors that are subsumed under the term process industry (chemical or petrochemical industry, pharmaceutical industry, food industry, biochemical industry, environmental technology, etc.). The book is like an investment. Doing a better job and getting a better job evaluation might pay for the book ..." Prof. Dr.-Ing. Claus Fleischer, Frankfurt University of Applied Sciences Process Engineering is based on almost 30 years of practical experience of the author in process simulation, design and development. The book is a missing link between students and practitioners. The author has coached many graduates in their first months and knows what the typical questions are. Coming from the university, graduates often do not know which relevance their knowledge has and how to apply it in real life, whereas established practitioners often stick to the narrow way of their experience, forgetting that science continuously makes progress. There is a gap to be bridged. From his own professional experience, the author covers many topics of the process engineering business, but three guest contributions are a valuable supplement to the content of the third edition. Already in the 2nd edition, Verena Haas from BASF SE wrote an excellent chapter on dynamic process simulation. For the new 3rd edition, Gökce Adali and Michael Benje added two chapters on digitalization and patents, respectively. Preparing the reader for the everyday business!

Download or read book Digital Transformation for the Process Industries written by Osvaldo A. Bascur and published by CRC Press. This book was released on 2020-10-27 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine if your process manufacturing plants were running so well that your production, safety, environmental, and profitability targets were being met so that your subject matter experts could focus on data-driven business improvements. Through proper use and analysis of your existing operations data, your company can become an industry leader and reward your stakeholders. Written in an engaging and easily understandable manner, this book demonstrates a step-by-step process of how an organization can effectively utilize technology and make the necessary culture changes to achieve operational excellence. You will see how several industry-leading companies have used an effective real-time data infrastructure for mission-critical business use cases. The book also addresses challenges involved, such as effectively integrating operational (OT) data with business (IT) systems to enable a more proactive, predictive management model for a fleet of process plants. Some of the things you will take away: Learn how a real-time data infrastructure enables transformation of raw sensor data into contextualized information for operational insights and business process improvement. Understand how reusing the same operational data for multiple use cases significantly impacts fleet management, profitability, and asset stewardship. See how a simple digital unit template representing production flows can be repeatedly used to identify critical inefficiencies in plant operations. Discover best practices of deploying real-time situational awareness alerts and predictive analytics. Realize how to transform your organization into a data-driven culture for continuous sustainable improvement. Find out how leading companies integrate operations data with business intelligence and predictive analytics tools in a corporate on-premises or cloud-enabled environment. Learn how industry-leading companies have imaginatively used a real-time data infrastructure to improve yields, reduce cycle times, and slash operating costs. This book is targeted for process industries production and operations leadership, senior engineers, IT management, CIOs, and service providers to those industries. Academics will benefit from latest data analysis strategies. This book guides readers to use the best, results-proven approaches to ensure operational excellence.

Download or read book Computational and Data Driven Chemistry Using Artificial Intelligence written by Takashiro Akitsu and published by Elsevier. This book was released on 2021-10-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help researchers design or identify new structures, Artificial Intelligence (AI) holds huge potential to revolutionize the future of chemistry. Volume 1 explores the fundamental knowledge and current methods being used to apply AI across a whole host of chemistry applications. Drawing on the knowledge of its expert team of global contributors, the book offers fascinating insight into this rapidly developing field and serves as a great resource for all those interested in exploring the opportunities afforded by the intersection of chemistry and AI in their own work. Part 1 provides foundational information on AI in chemistry, with an introduction to the field and guidance on database usage and statistical analysis to help support newcomers to the field. Part 2 then goes on to discuss approaches currently used to address problems in broad areas such as computational and theoretical chemistry; materials, synthetic and medicinal chemistry; crystallography, analytical chemistry, and spectroscopy. Finally, potential future trends in the field are discussed. - Provides an accessible introduction to the current state and future possibilities for AI in chemistry - Explores how computational chemistry methods and approaches can both enhance and be enhanced by AI - Highlights the interdisciplinary and broad applicability of AI tools across a wide range of chemistry fields

Download or read book Smart Process Plants Software and Hardware Solutions for Accurate Data and Profitable Operations written by Miguel J. Bagajewicz and published by McGraw Hill Professional. This book was released on 2009-09-22 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Detailed Guide to the New Generation of Smart Process Plants Maximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the value of the information produced are included. The book discusses optimal instrumentation type, quality, precision, and location along with preventive maintenance techniques. Practical examples throughout the book demonstrate how to perform essential calculations. Smart Process Plants covers: Measurement instrument performance and measurement errors Variable classification and canonical representation Linear, nonlinear, and dynamic data reconciliation Gross error detection, equivalency, size elimination, and estimation Accuracy of estimators Value of accuracy, control strategies, parametric fault identification, and instrumentation upgrade Maintenance optimization

Download or read book Smart Manufacturing with Artificial Intelligence written by Jake Krakauer and published by Computer and Automated Systems Association of Sme. This book was released on 1987 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Download or read book Process Engineering and Plant Design written by Siddhartha Mukherjee and published by CRC Press. This book was released on 2021-12-28 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides the whole horizon of process engineering and plant design from concept phase through the execution to commissioning of the plant in the real practice. Providing a complete industrial perspective, the book: Covers the guidelines and standards followed in the industry and how engineering documents are generated using these standards Describes Hazardous Area Classification, Relief System Design, Revamp Engineering, Interaction with Other Disciplines, and Pre-commissioning and Commissioning Contains several illustrated practical examples, which clarify the fundamentals to a raw chemical engineer Includes description of a complete chemical project from concept to commissioning Treating the topic from the perspective of an industrial employee with extensive experience in process engineering and plant design, it aims to aid chemical and plant engineers to deal with decision making processes on strategic level, management tasks and leading functions beside the technical know-how.

Download or read book Process Engineering written by Michael Kleiber and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-11-20 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Reading the book, you can feel the long practical experience of the author. The text is easy to read, even where concepts can be complex. The strong theoretical background of the author is well known from other publications. In this book, however, the topics are presented on a level that every engineer and scientist in the chemical industry and process industry should know and can understand... This book would have been very helpful at the beginning of my career to close the addressed gap. Therefore, I can strongly recommend it not only to all students close to their degree, but also to engineers and scientists just starting their industrial career in the related industrial sectors that are subsumed under the term process industry (chemical or petrochemical industry, pharmaceutical industry, food industry, biochemical industry, environmental technology, etc.). The book is like an investment. Doing a better job and getting a better job evaluation might pay for the book ..." Prof. Dr.-Ing. Claus Fleischer, Frankfurt University of Applied Sciences Process Engineering is based on almost 30 years of practical experience of the author in process simulation, design and development. The book is a missing link between students and practitioners. The author has coached many graduates in their first months and knows what the typical questions are. Coming from the university, graduates often do not know which relevance their knowledge has and how to apply it in real life, whereas established practitioners often stick to the narrow way of their experience, forgetting that science continuously makes progress. There is a gap to be bridged. From his own professional experience, the author covers many topics of the process engineering business, but three guest contributions are a valuable supplement to the content of the third edition. Already in the 2nd edition, Verena Haas from BASF SE wrote an excellent chapter on dynamic process simulation. For the new 3rd edition, Gökce Adali and Michael Benje added two chapters on digitalization and patents, respectively. Preparing the reader for the everyday business!

Download or read book Process Engineering Renewal 3 written by Éric Schaer and published by John Wiley & Sons. This book was released on 2020-07-17 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies such as artificial intelligence, as well as current societal needs sustainable development, climate change, renewable energy, the environment are developments that must be taken into account in industrial renewal. Process Engineering Renewal 3 presents a prospective analysis that demonstrates the significant disruptions linked to sustainable development, global warming, etc. These constraints may trigger changes in the social regulation system, which in turn applies pressure on actors of process engineering to evolve and adapt to these developments.

Download or read book Process Engineering Renewal 2 written by Éric Schaer and published by John Wiley & Sons. This book was released on 2020-07-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies such as artificial intelligence, as well as current societal needs – sustainable development, climate change, renewable energy, the environment – are developments that must be taken into account in industrial renewal. Process Engineering Renewal 2 focuses on research in process engineering, which is partly overshadowed by the sciences that contribute to its development. The external constraints of this interface science must be seen in relation to conservation, sustainable development, global warming, etc., which are linked to current success and the difficulty of taking risks in research.